Hierarchical Negative Sampling Based Graph Contrastive Learning Approach for Drug-Disease Association Prediction-Reference-Cited by-同舟云学术

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Hierarchical Negative Sampling Based Graph Contrastive Learning Approach for Drug-Disease Association Prediction

Published:2024-05 Issue:5 Volume:28 Page:3146-3157
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Wang Yuanxu¹^ORCID,Song Jinmiao²^ORCID,Dai Qiguo³^ORCID,Duan Xiaodong³^ORCID

Affiliation:

1. School of Computer Science and Technology, Xinjiang University, Urumqi, China

2. School of Software, Xinjiang University, Urumqi, China

3. Key Laboratory of Big Data Applied Technology State Ethnic Affairs Commission, Dalian Minzu University, Dalian, China

Funder

Scientific Research Fund Project of the Education Department of Liaoning Province

2023 Liaoning Provincial Natural Science Foundation Program Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10521573/10417119.pdf?arnumber=10417119

Reference45 articles.

1. Translational disease interpretation with molecular networks

2. Advancing Drug Discovery via Artificial Intelligence

3. Predicting drug-disease associations by using similarity constrained matrix factorization

4. Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm

5. Drug repositioning based on individual bi-random walks on a heterogeneous network

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Boosting Protein Language Models with Negative Sample Mining;Lecture Notes in Computer Science;2024

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